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Name: yongqiang
Type: User
Bio: 坚持到最后,谁先受不了谁滚蛋
Location: BeiJing
Name: yongqiang
Type: User
Bio: 坚持到最后,谁先受不了谁滚蛋
Location: BeiJing
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档
A curated list of resources for Image and Video Deblurring
Official code base of the BEVDet series .
A version of matlab function 'imresize' using 'bicubic' interpolation, realized by pytorch and could acclearte by cuda. So it can be plug in nerual networks . While many interpolation methods in python like scipy.misc.imresize and torch.nn.function.Upsample(interpolation) and so on. They outputs different results with the results on matlab version. And I will update an python version 'bicubic' using numpy as soon as possible. And of course it can not acclerate by cuda, resulting slower results.
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
船长关于机器学习、计算机视觉和工程技术的总结和分享
Documentation for GitHub Copilot
Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution'
DeepFaceLab is the leading software for creating deepfakes.
A platform for community discussion. Free, open, simple.
Discourse Plugin: Code Fences Buttons (cfbtn)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
科学上网插件的离线安装包储存在这里
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
京东抢购自动下单助手,GUI 支持 Windows 和 macOS
OpenMMLab Detection Toolbox and Benchmark
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Open standard for machine learning interoperability
Caffe2 implementation of Open Neural Network Exchange (ONNX)
A tool to modify onnx models in a visualization fashion, based on Netron and flask.
Simplify your onnx model
pytorch to caffe by onnx
pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Never use print for debugging again
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Neural Blind Deconvolution Using Deep Priors (CVPR 2020)
A collection of high-impact and state-of-the-art SR methods
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.